
Responsibilities:
• Develop computer vision systems for enterprises to be used by hundreds of our
customers
• Enhance existing Computer vision systems to achieve high performance
• Prototype new algorithms rapidly, iterating to achieve high levels of performance
• Package these prototypes as robust models written in production level code to be
integrated into the product
• Work closely with the ML engineers to explore and enhance new product features
leading to new areas of business
Requirements:
Strong understanding of linear algebra, optimisation, probability, statistics
• Experience in the data science methodology from exploratory data analysis, feature
engineering, model selection, deployment of the model at scale and model evaluation
• Background in machine learning with experience in large scale training and
convolutional neural networks
• Deep understanding of evaluation metrics for different computer vision tasks
• Knowledge of common architectures for various computer vision tasks like object
detection, recognition, and semantic segmentation
• Experience with model quantization is a plus
• Experience with Python Web Framework (Django/Flask/FastAPI), Machine Learning
frameworks like Tensorflow/Keras/Pytorch

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We are looking to expand our existing Python team across our offices in Surat. This position is for SDE-1 - Junior Software Engineer.
The requirements are as follows:
1) Familiar with the the Django REST API Framework.
2) Experience with the FAST API framework will be a plus
3) Strong grasp of basic python programming concepts ( We do ask a lot of questions on this on our interviews :) )
4) Experience with databases like MongoDB , Postgres , Elasticsearch , REDIS will be a plus
5) Experience with any ML library will be a plus.
6) Familiarity with using git , writing unit test cases for all code written and CI/CD concepts will be a plus as well.
7) Familiar with basic code patterns like MVC.
8) Grasp on basic data structures.
Title: Quantitative Developer
Location : Mumbai
Candidates preferred with Master's
Who We Are
At Dolat Capital, we are a collective of traders, puzzle solvers, and tech enthusiasts passionate about decoding the intricacies of financial markets. From navigating volatile trading conditions with precision to continuously refining cutting-edge technologies and quantitative strategies, our work thrives at the intersection of finance and engineering.
We operate a robust, ultra-low latency infrastructure built for market-making and active trading across Equities, Futures, and Options—with some of the highest fill rates in the industry. If you're excited by technology, trading, and critical thinking, this is the place to evolve your skills into world class capabilities.
What You Will Do
This role offers a unique opportunity to work across both quantitative development and high frequency trading. You'll engineer trading systems, design and implement algorithmic strategies, and directly participate in live trading execution and strategy enhancement.
1. Quantitative Strategy & Trading Execution
- Design, implement, and optimize quantitative strategies for trading derivatives, index options, and ETFs
- Trade across options, equities, and futures, using proprietary HFT platforms
- Monitor and manage PnL performance, targeting Sharpe ratios of 6+
- Stay proactive in identifying market opportunities and inefficiencies in real-time HFT environments
- Analyze market behavior, particularly in APAC indices, to adjust models and positions dynamically
2. Trading Systems Development
- Build and enhance low-latency, high-throughput trading systems
- Develop tools to simulate trading strategies and access historical market data
- Design performance-optimized data structures and algorithms for fast execution
- Implement real-time risk management and performance tracking systems
3. Algorithmic and Quantitative Analysis
- Collaborate with researchers and traders to integrate strategies into live environments
- Use statistical methods and data-driven analysis to validate and refine models
- Work with large-scale HFT tick data using Python / C++
4. AI/ML Integration
- Develop and train AI/ML models for market prediction, signal detection, and strategy enhancement
- Analyze large datasets to detect patterns and alpha signals
5. System & Network Optimization
- Optimize distributed and concurrent systems for high-transaction throughput
- Enhance platform performance through network and systems programming
- Utilize deep knowledge of TCP/UDP and network protocols
6. Collaboration & Mentorship
- Collaborate cross-functionally with traders, engineers, and data scientists
- Represent Dolat in campus recruitment and industry events as a technical mentor
What We Are Looking For:
- Strong foundation in data structures, algorithms, and object-oriented programming (C++).
- Experience with AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Hands-on experience in systems programming within a Linux environment.
- Proficient and Hands on programming using python/ C++
- Familiarity with distributed computing and high-concurrency systems.
- Knowledge of network programming, including TCP/UDP protocols.
- Strong analytical and problem-solving skills.
A passion for technology-driven solutions in the financial markets.
Job Title: Deployment Lead (Python, Linux, AWS)
Location: Coimbatore
Overview
We are seeking an experienced Deployment Lead to oversee the end-to-end deployment lifecycle of our applications and services. The ideal candidate will have deep expertise in Python, strong Linux administration skills, and hands-on experience with AWS cloud infrastructure. You will work closely with engineering, DevOps, QA, and product teams to ensure reliable, repeatable, and scalable deployments across multiple environments.
Key Responsibilities
- Lead and manage deployment activities for all application releases across development, staging, and production environments.
- Develop and maintain deployment automation, scripts, and tools using Python and shell scripting.
- Own and optimize CI/CD pipelines (e.g., GitHub Actions, Jenkins, GitLab CI, or AWS CodePipeline).
- Oversee Linux server administration, including configuration, troubleshooting, performance optimization, and security hardening.
- Design, implement, and maintain AWS infrastructure (EC2, S3, Lambda, IAM, RDS, ECS/EKS, CloudFormation/Terraform).
- Ensure robust monitoring, logging, and alerting using tools such as CloudWatch, Grafana, Prometheus, or ELK.
- Collaborate with developers to improve code readiness for deployment and production reliability.
- Manage environment configurations and ensure consistency and version control across environments.
- Lead incident response during production issues; conduct root-cause analysis and implement long-term fixes.
- Establish and enforce best practices for deployment, configuration management, and operational excellence.
Required Skills & Qualifications
- 5+ years of experience in deployment engineering, DevOps, or site reliability engineering roles.
- Strong proficiency in Python for automation and tooling.
- Advanced experience with Linux systems administration (Ubuntu, CentOS, Amazon Linux).
- Hands-on work with AWS cloud services and infrastructure-as-code (CloudFormation or Terraform).
- Experience with containerization technologies such as Docker and orchestration platforms like ECS, EKS, or Kubernetes.
- Strong understanding of CI/CD tools and automated deployment strategies.
- Familiarity with networking concepts: DNS, load balancers, VPCs, firewalls, VPN, and routing.
- Expertise with monitoring, alerting, and logging solutions.
- Strong problem-solving and analytical skills; able to lead troubleshooting efforts.
- Excellent communication and leadership abilities.
We're Hiring: Senior Developer (AI & Machine Learning)** 🚀
🔧 **Tech Stack**: Python, Neo4j, FAISS, LangChain, React.js, AWS/GCP/Azure
🧠 **Role**: AI/ML development, backend architecture, cloud deployment
🌍 **Location**: Remote (India)
💼 **Experience**: 5-10 years
If you're passionate about making an impact in EdTech and want to help shape the future of learning with AI, we want to hear from you!
MLSecured(https://www.mlsecured.com/) an AI GRC (Governance, Risk, and Compliance) is Hiring! a Backend Software Engineer 🚀
Are you a passionate Backend Software Engineer with experience in Machine Learning and Open Source projects? Do you have a strong foundation in Python and Object-Oriented Programming (OOP) concepts? Join us at MLSecured.com and be part of our mission to solve AI Security & Compliance challenges! 🔐🤖
What We’re Looking For:
👨💻 1-2 years of professional experience in Backend Development and Open Source projects contribution
🐍 Proficiency in Python and OOP concepts
🤝 Experience with Machine Learning (NLP, GenAI)
🤝 Experience with CI/CD and cloud infra is a plus
💡 A passion for solving complex AI Security & Compliance problems
Why Join Us?
At MLSecured.com, you'll work with a talented team dedicated to pioneering AI security solutions. Be a part of our journey to make AI systems secure and compliant for everyone. 🌟
Perks of Joining a Fast-Paced Startup:
🚀 Rapid career growth and learning opportunities
🌍 Work on cutting-edge AI technologies and innovative projects
🤝 Collaborative and dynamic work environment
🎉 Flexible working hours and full remote work options
📈 Significant impact on the company's direction and success
Your responsibilities as a backend engineer will include:
- Back-end software development
- Software engineering and designing data models and write effective APIs
- Working together with engineers and product teams
- Understanding business use cases and requirements for different internal teams
- Maintenance of existing projects and New feature development
- Consume and integrate classifier/ ML snippets from Data science team
What we are looking for:
- 4+ years of industry experience with the Python and Django framework.
- Degree in Computer Science or related field
- Good analytical skills with strong fundamentals of data structures and algorithms
- Experience building backend services with hands-on experience through all stages of Agile software development life cycle.
- Ability to write optimized codes,debug programs, and integrate applications with third party tools by developing various APIs
- Experience with Databases (Relational and Non-Relational). Ex: Cassandra, MongoDB, Postgresql
- Experience with writing REST-APIs.
- Prototyping initial collection and leveraging existing tools and/or creating new tools
- Experience working different types of datasets (e.g. unstructured, semi-structured, with missing information)
- Ability to think critically and creatively in a dynamic environment, while picking up new tools and domain knowledge along the way
- A positive attitude, and a growth mindset
Bonus:
- Experience with relevant Python libraries such as Sklearn, NLTK, tensorflow, HuggingFace Transformers
- Hands on experience in Machine learning implementations
- Experience with Cloud infrastructure (e.g. AWS) and relevant microservices
- Good with Humor and Team player










